Kutz JN - Search Results

1

Numerical differentiation of noisy data: A unifying multi-objective optimization framework.

van Breugel F, Kutz JN, Brunton BW. van Breugel F, et al. Among authors: kutz jn. IEEE Access. 2020;8:196865-196877. doi: 10.1109/access.2020.3034077. Epub 2020 Oct 27. IEEE Access. 2020. PMID: 33623728 Free PMC article.

2

Extracting spatial-temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition.

Brunton BW, Johnson LA, Ojemann JG, Kutz JN. Brunton BW, et al. Among authors: kutz jn. J Neurosci Methods. 2016 Jan 30;258:1-15. doi: 10.1016/j.jneumeth.2015.10.010. Epub 2015 Oct 31. J Neurosci Methods. 2016. PMID: 26529367

3

Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control.

Brunton SL, Brunton BW, Proctor JL, Kutz JN. Brunton SL, et al. Among authors: kutz jn. PLoS One. 2016 Feb 26;11(2):e0150171. doi: 10.1371/journal.pone.0150171. eCollection 2016. PLoS One. 2016. PMID: 26919740 Free PMC article.

4

Chaos as an intermittently forced linear system.

Brunton SL, Brunton BW, Proctor JL, Kaiser E, Kutz JN. Brunton SL, et al. Among authors: kutz jn. Nat Commun. 2017 May 30;8(1):19. doi: 10.1038/s41467-017-00030-8. Nat Commun. 2017. PMID: 28559566 Free PMC article.

5

Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition.

Kunert-Graf JM, Eschenburg KM, Galas DJ, Kutz JN, Rane SD, Brunton BW. Kunert-Graf JM, et al. Among authors: kutz jn. Front Comput Neurosci. 2019 Oct 31;13:75. doi: 10.3389/fncom.2019.00075. eCollection 2019. Front Comput Neurosci. 2019. PMID: 31736734 Free PMC article.

6

Signal recovery from stimulation artifacts in intracranial recordings with dictionary learning.

Caldwell DJ, Cronin JA, Rao RPN, Collins KL, Weaver KE, Ko AL, Ojemann JG, Kutz JN, Brunton BW. Caldwell DJ, et al. Among authors: kutz jn. J Neural Eng. 2020 Apr 9;17(2):026023. doi: 10.1088/1741-2552/ab7a4f. J Neural Eng. 2020. PMID: 32103828 Free PMC article.

7

Inferring causal networks of dynamical systems through transient dynamics and perturbation.

Stepaniants G, Brunton BW, Kutz JN. Stepaniants G, et al. Among authors: kutz jn. Phys Rev E. 2020 Oct;102(4-1):042309. doi: 10.1103/PhysRevE.102.042309. Phys Rev E. 2020. PMID: 33212733

8

Learning dominant physical processes with data-driven balance models.

Callaham JL, Koch JV, Brunton BW, Kutz JN, Brunton SL. Callaham JL, et al. Among authors: kutz jn. Nat Commun. 2021 Feb 15;12(1):1016. doi: 10.1038/s41467-021-21331-z. Nat Commun. 2021. PMID: 33589607 Free PMC article.

9

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.

Fasel U, Kutz JN, Brunton BW, Brunton SL. Fasel U, et al. Among authors: kutz jn. Proc Math Phys Eng Sci. 2022 Apr;478(2260):20210904. doi: 10.1098/rspa.2021.0904. Epub 2022 Apr 13. Proc Math Phys Eng Sci. 2022. PMID: 35450025 Free PMC article.

10

Non-Stationary Dynamic Mode Decomposition.

Ferré J, Rokem A, Buffalo EA, Kutz JN, Fairhall A. Ferré J, et al. Among authors: kutz jn. IEEE Access. 2023;11:117159-117176. doi: 10.1109/access.2023.3326412. Epub 2023 Oct 20. IEEE Access. 2023. PMID: 38078207 Free PMC article.

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